Aims We investigated whether pre-existing diabetes, newly-diagnosed diabetes, and admission hyperglycemia were associated with COVID-19 severity independently from confounders. Methods We retrospectively analyzed data on patients with COVID-19 hospitalized between February and April 2020 in an outbreak hospital in North-East Italy. Pre-existing diabetes was defined by self-reported history, electronic medical records, or ongoing medications. Newly-diagnosed diabetes was defined by HbA1c and fasting glucose. The primary outcome was a composite of ICU admission or death. Results 413 subjects were included, 107 of whom (25.6%) had diabetes, including 21 newly-diagnosed. Patients with diabetes were older and had greater comorbidity burden. The primary outcome occurred in 37.4% of patients with diabetes compared to 20.3% in those without (RR 1.85; 95%C.I. 1.33–2.57; p < 0.001). The association was stronger for newly-diagnosed compared to pre-existing diabetes (RR 3.06 vs 1.55; p = 0.004). Higher glucose level at admission was associated with COVID-19 severity, with a stronger association among patients without as compared to those with pre-existing diabetes (interaction p < 0.001). Admission glucose was correlated with most clinical severity indexes and its association with adverse outcome was mostly mediated by a worse respiratory function. Conclusion Newly-diagnosed diabetes and admission hyperglycemia are powerful predictors of COVID-19 severity due to rapid respiratory deterioration.
Newly-diagnosed diabetes and admission hyperglycemia predict COVID-19 severity by aggravating respiratory deterioration
G. Fadini,M. Morieri,F. Boscari,P. Fioretto,A. Maran,L. Busetto,B. Bonora,Elisa Selmin,G. Arcidiacono,S. Pinelli,Filippo Farnia,D. Falaguasta,L. Russo,G. Voltan,Sara Mazzocut,Giorgia Costantini,F. Ghirardini,S. Tresso,A. Cattelan,A. Vianello,A. Avogaro,R. Vettor
Published 2020 in Diabetes Research and Clinical Practice
ABSTRACT
PUBLICATION RECORD
- Publication year
2020
- Venue
Diabetes Research and Clinical Practice
- Publication date
2020-08-14
- Fields of study
Medicine, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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